Staff Product Data Scientist

Навыки

• A/B-тесты
• Дашборды и витрины
• iGaming / betting
• KPI
• Snowflake
• SQL
• Статистика

О компании и продукте

• We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
• Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
• Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
• At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

Задачи

• Deliver evidence-based recommendations that directly change the course of decisions at Director, VP, and C-suite level
• Define Metrics & Specifications
• Design KPI trees, define metric intent, and specify requirements for Analytics Engineers to implement certified, production-grade data products
• Define tracking plans for instrumentation, specify dashboard requirements and acceptance criteria, and ensure data capture supports decision-making needs
• Partner Across the Business
• Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers, leading problem-framing sessions and challenging assumptions
• Reframe vague requests into testable hypotheses and bring analytical rigour to high-stakes discussions
• Tackle Ambiguity
• Translate broad business challenges into sharp analytical problems with measurable outcomes, bringing structure to fast-moving, ambiguous environments

Требования

• Advanced statistical knowledge and applied experience with causal inference methods: A/B testing, confidence intervals, regression, quasi-experimental designs (difference-in-differences, synthetic controls, regression discontinuity), and familiarity with CUPED and variance reduction techniques
• Proficiency in SQL for exploratory analysis and data validation (Snowflake environment)
• Demonstrated track record of producing decision memos, strategy recommendations, or business cases that have measurably influenced product and commercial strategy
• Ability to transform complex causal analyses into clear, compelling narratives for VP and C-suite audiences, making evidence accessible and actionable
• Strong commercial and product acumen — an understanding of how data connects to business outcomes, product design, and customer behaviour
• Comfort with ambiguity and a bias towards answering "what should we do?" rather than "what happened?"
• Minimum 5 years of relevant experience in analytics, data science, or product data science roles (ideally in product or commercial domains), with direct influence on strategy and growth through causal analysis and experimentation
• Degree in Data Science, Statistics, Economics, Computer Science, Engineering, Mathematics, or a related quantitative field — or equivalent professional experience

Условия

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development
• Additional benefits vary by country and will be shared during the hiring process

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